Crowd-sourcing the smart city: Using big geosocial media metrics in urban governance

Research output: Contribution to journalComment/debate

45 Scopus citations

Abstract

Using Big Data to better understand urban questions is an exciting field with challenging methodological and theoretical problems. It is also, however, potentially troubling when Big Data (particularly derived from social media) is applied uncritically to urban governance via the ideas and practices of “smart cities”. This essay reviews both the historical depth of central ideas within smart city governance —particular the idea that enough data/information/knowledge can solve society problems—but also the ways that the most recent version differs. Namely, that the motivations and ideological underpinning behind the goal of urban betterment is largely driven by technology advocates and neoliberalism rather than the strong social justice themes associated with earlier applications of data to cities. Geosocial media data and metrics derived from them can provide useful insight and policy direction. But one must be ever mindful that metrics don’t simply measure; in the process of deciding what is important and possible to measure, these data are simultaneously defining what cities are.

Original languageEnglish
JournalBig Data and Society
Volume4
Issue number1
DOIs
StatePublished - Jun 2017

Bibliographical note

Publisher Copyright:
© The Author(s) 2017.

Keywords

  • Smart cities
  • city planning
  • metrics
  • performativity
  • social media
  • urban geography

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Communication
  • Library and Information Sciences

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